Cevahir Koprulu

5 papers · 2023–2025 · 3 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (10)

Venues

ICLR (2) UAI (2) L4DC (1)

Top co-authors

Ufuk Topcu (5) Nils Jansen (2) Thiago D. Simão (2) Tianyu Qiu (1) Franck Djeumou (1) Tyler Westenbroek (1) David Fridovich-Keil (1) Ruihan Zhao (1) Po-han Li (1) Sandeep Chinchali (1)

Research topics

Reinforcement Learning (5) Methods (5) Machine Learning (3) Artificial Intelligence (2) Core AI (2) Learning Types · Machine Learning (2) Deep Learning (1) Application Areas (1) Learning Types · Deep Learning (1)

Keywords

reinforcement learning (3) curriculum generation (2) offline reinforcement learning (1) policy gradient (1) curriculum learning (1) constrained reinforcement learning (1) continuous control (1) model-based reinforcement learning (1) self-paced learning (1) heavy-tailed distribution (1) safety constraint (1) task distribution (1) expert demonstration (1) sparse reward (1) uncertainty estimation (1) reward shaping (1) dynamics model (1) reward machine (1) neural stochastic differential equation (1) risk-aware curriculum (1)

Papers

Dense Dynamics-Aware Reward Synthesis: Integrating Prior Experience with Demonstrations L4DC 2025 Neural Stochastic Differential Equations for Uncertainty-Aware Offline RL ICLR 2025 Safety-Prioritizing Curricula for Constrained Reinforcement Learning ICLR 2025 Reward-machine-guided, self-paced reinforcement learning UAI 2023 Risk-aware curriculum generation for heavy-tailed task distributions UAI 2023